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Research Projects

Academics supervise projects appropriate to their areas of expertise. Project areas are listed below, including the names of potential supervisors. Current students already work on projects in many of the world’s leading HEP experiments and are exploiting a wide array of large data sets from ground/space telescopes and advanced simulations to discover measure, and characterise a wide range of phenomena in our Universe.

2023

Simran Dave

sim

Project title: The Search for Dark Matter with the world-leading LZ Experiment

Dakshesh Kololgi

Daks

Connecting Galaxies to Large Scale Structure Environment with Minimum Spanning Trees

Febian Febian

feb

Machine Learning and FPGA optimisation for proton beam therapy Proton therapy

Weibin Chen

webin

Integrated Approach to Summer Sea Ice Analysis and Uncertainty Estimation through AI and Advanced Statistical Techniques

Joseph Egan

joe

Constraining Beyond Standard Model physics by reinterpreting published collider measurements

Jools Clarke

jools

Investigating performance, interpretability & resource efficiency trade-offs of machine learning models for exoplanet data

Edoardo Critelli

Edoardo C

Graph Neural Networks for High Energy Physics

Jason Ran

jason

Bayesian Methods for Planet Formation

Elliot Dable

elliot350

CIRCE Impact PhD studentship. Applying Machine Learning and Data Assimilation for satellite orbit prediction and CubeSat monitoring of Space Weather

Wei Sheng Lai

Wei

Advancing b-jet identification tools at the ATLAS experiment to contribute in our understanding of the Universe

Henry Aldridge

Henry

Probabilistic Deep Learning for Cosmology and Beyond

Laura Aguilar

Laura A

Unveiling Atmospheric and Orbital responses to Space Weather phenomena with Machine Learning and Data assimilation for Satellite Orbit prediction and traffic management

2022

Callum Duffy

Callum Duffy

Exploring the possible applications of quantum algorithms to the data produced by experiments at the LHC 

Noah Clarke Hall 

Noah Clarke Hall

Deep learning the shape of the Higgs potential with ATLAS at the LHC 

Max Hart 

Max

Machine learning techniques to improve track reconstruction at the ATLAS experiment at the LHC

Nathan Higginbotham 

nathan-higginbotham

Determining the Neutrino Mass from Cyclotron Radiation Emission Spectroscopy 

Paul Nathan

Paul Nathan

Anomaly Detection in DESI Spectra using Machine-Learning Dimensionality-Reduction Techniques

Alicja Polanska 

Alicja Polanska

Machine learning assisted model comparison with normalizing flow

Nikita Pond 

Nikita Pond

Revolutionising tracking and b-jet identification to explore new regions and understand the fundamental workings of the Universe

Alex Saoulis

Alex Saoulis

Understanding earthquakes and cosmic structure growth

James Ray 

jamesray

Exploiting Galaxy Images with Deep Learning and Explainable AI

 

Tara Tahseen 

Tara Tahseen

Using deep learning to model complex chemistries of exoplanet atmospheres 

 

Antonia Vojtekova

Antonia Vojtekova

Exploring exoplanetary atmospheres with a combination of machine learning

 

2021

Jackson Barr

Jackson Barr

Improvement of b-tagging in the ATLAS experiment

Ross Dobson

Ross Dobson

Unveiling the exoplanet population with novel data science techniques

Philippa Duckett

Philippa Duckett

Applying machine learning techniques to improve the tracking and identification of b-jets in the ATLAS detector at the LHC

Elizabeth Guest

Elizabeth Guest

Machine learning of pressure dependence of molecular line profiles for Exoplanets

Thandikire Madula

Thandikire Madula

Using machine learning for Higgs to 4b analyses

Joshua Williamson

Josh

Field-level galaxy biasing from DES Y3 weak lensing mass and galaxy maps

Ziyang Yan

ziyang

Denoise Gaia data with normalizing flow

 

 

2020

Prabh Bhambra 

no icon

Using AI to explain astronomy

Marin Mlinarevic 

marin mlinarevic

Search for non-resonant pair production of Higgs bosons in the 4b final state in pp collisions with the ATLAS detector 

Patricio Reller Garcia 

Patricio Reller Garcia

Data-intensive and high-performance computing applied in a multidisciplinary research stage

Arianna Saba 

Arianna Saba

From Space to Ground: Characterising Exoplanet Atmospheres at Low and High Spectral Resolutions

 Federico Speranza 

Federico Speranza

A Bayesian parameter estimation framework to study galaxy formation and evolution across the Universe

Andrius Vaitkus 

Andrius Vaitkus

Decorrelating the mass variable from the X->bb tagger using adversarial neural networks and optimising CPU timing of particle tracking in ATLAS Inner Detector

Yuwen Zhang

Yuwen Zhang

Search for di-Higgs production through HH->bbbb decay

 

2019

I Cheng (Matthew) 

I Cheng

AI-Assisted Detection and Plasma Processes of Saturn's Magnetospheric Boundaries

Graham Van Goffrier

Graham Van Goffrier

Improved Nuclear Matrix Elements for Neutrinoless Double-Beta Decay 

Nisha Lad

Nisha Lad

Graph Neural Networks for fast track finding in LHC data

Nikolay Walters 

no icon

Active chromospheres in white dwarfs

Samuel Wright

Samuel Wright

Non-LTE Molecular Spectroscopy for Exoplanet Atmospheres